CIO Business Intelligence

JANUARY 21, 2025

CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns. CIOs were given significant budgets to improve productivity, cost savings, and competitive advantages with gen AI.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

CIO Business Intelligence

JANUARY 21, 2025

Well also examine strategies CIOs can use to address these challenges, ensuring their organizations can recognize the rewards of GenAI without compromising financial stability. This emphasizes the difficulty in justifying new technology investments without clear, tangible financial returns.

Cost-Benefit 98

Cost-Benefit ROI Measurement Strategy 98

CIO Business Intelligence

APRIL 24, 2025

It requires ideation, market research, pricing analysis, and go-to-market plans. Organizations should prioritize solutions that align with their current data/technology stack and product lifecycle to ensure seamless implementation, he says. She notes that her firm works with a variety of data-rich clients.

Data-driven 134

Data-driven Marketing Risk Sales 134

AWS Big Data

JANUARY 9, 2025

Our analysis shows that Iceberg can accelerate query performance by up to 52%, reduce operational costs, and significantly improve data management at scale. In our previous post Backtesting index rebalancing arbitrage with Amazon EMR and Apache Iceberg , we showed how to use Apache Iceberg in the context of strategy backtesting.

Metadata 110

Metadata Snapshot Cost-Benefit Optimization 110

CIO Business Intelligence

APRIL 10, 2025

The goal is to give such leaders widespread visibility into planning, benchmarking, and optimization of their IT investments, according to the TBM Council. The goal is to give such leaders widespread visibility into planning, benchmarking, and optimization of their IT investments, according to the TBM Council.

ROI 100

ROI Optimization Risk Management Forecasting 100

CIO Business Intelligence

DECEMBER 9, 2024

Assuming a technology can capture these risks will fail like many knowledge management solutions did in the 90s by trying to achieve the impossible. This year saw the initial hype and excitement over AI settle down with more realistic expectations taking hold. But this isnt intelligence in any human sense.

Enterprise 116

Enterprise Cost-Benefit ROI Measurement 116

datapine

MARCH 25, 2022

Table of Contents. 1) What Is Business Intelligence And Analytics? 2) BI vs BA As Seen Through Football. 3) BI And BA Main Differences. 4) How Do BI And BA Apply To Business? 5) BI And BA Use-Case Scenarios. 6) BI And BA Examples. If you feel a bit uncertain about the specifics here, you’re not alone, experts aren’t in agreement either!

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Jet Global

MAY 21, 2025

In this episode of “ Don’t Panic, It’s Just Data ,” host Christina Stathopoulos explores the world of real-time analytics and its impact on financial decision-making. Watch our latest podcast now for an insightful conversation on how real-time data is reshaping the future of financial planning and analysis.

Finance 59

Finance Data Processing Forecasting Data Integration 59

CIO Business Intelligence

NOVEMBER 14, 2024

Led by Pacetti, the company was able to reduce many variables in a complex system, like online sales and payments, data analysis, and cybersecurity. “We Migration to the cloud, data valorization, and development of e-commerce are areas where rubber sole manufacturer Vibram has transformed its business as it opens up to new markets.

ROI 119

ROI B2B Business Objectives Digital Transformation 119

datapine

FEBRUARY 14, 2021

Remember: Today , access to your metrics 24/7/365 is really important, what online data analysis tools can guarantee and ensure that your chances of long-term success increase. And if your supply chain is inefficient, ineffective, or fragmented, it could seriously hinder your commercial prospects. Our Top 15 Supply Chain Metrics Examples.

Metrics 260

Metrics KPI Dashboards Sales 260

AWS Big Data

OCTOBER 21, 2024

However, enterprises often encounter challenges with data silos, insufficient access controls, poor governance, and quality issues. Embracing data as a product is the key to address these challenges and foster a data-driven culture. In this context, the adoption of data lakes and the data mesh framework emerges as a powerful approach.

Sales 115

Sales Data-driven Data Processing Key Performance Indicator 115

O'Reilly on Data

FEBRUARY 4, 2019

As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for. How companies in Europe are preparing for and adopting AI and ML technologies. You can find full results from the survey in the free report “Evolving Data Infrastructure”.).

Machine Learning 279

Machine Learning Enterprise IoT Big Data 279

O'Reilly on Data

MARCH 20, 2019

A recent flourish of posts and papers has outlined the broader topic, listed attack vectors and vulnerabilities, started to propose defensive solutions, and provided the necessary framework for this post. Disparate impact analysis could potentially discover intentional discrimination in model predictions. Data poisoning attacks.

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

datapine

APRIL 16, 2019

Qualitative analysis focuses on data that isn’t defined by numbers or metrics such as interviews, videos, and anecdotes. Qualitative data analysis is based on observation rather than measurement. The term ‘big data’ alone has become something of a buzzword in recent times – and for good reason. What Is Data Driven Decision Making?

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

O'Reilly on Data

MAY 14, 2020

Understanding exactly what you’re doing, and how it relates to other kinds of projects, will be a huge help in researching and building solutions. Understanding exactly what you’re doing, and how it relates to other kinds of projects, will be a huge help in researching and building solutions. AI is no different.

Management 364

Management Experimentation B2B Machine Learning 364

datapine

JUNE 15, 2023

On the contrary, organizations that fail to implement online data analysis tools to track and optimize their performance will simply stay behind. 2) The Importance of Performance Reports 3) Performance Report Examples 4) Performance Reporting Tips Performance reporting has been a traditional business practice for decades now.

Reporting 207

Reporting Dashboards Cost-Benefit Sales 207

datapine

SEPTEMBER 4, 2019

The secret is out, and has been for a while: In order to remain competitive, businesses of all sizes, from startup to enterprise, need business intelligence (BI). But what do you do with all this business intelligence? You can have the most robust BI infrastructure in place. This is where the power of business dashboards comes into play.

Dashboards 263

Dashboards Analytics Key Performance Indicator Sales 263

datapine

FEBRUARY 9, 2024

4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs. But first, let’s start with a simple definition.

KPI 221

KPI Management Key Performance Indicator Measurement 221

CIO Business Intelligence

FEBRUARY 26, 2025

The two worlds have different requirements in terms of monitoring, logging, and data analysis, which complicates the implementation of AIOps. The term refers in particular to the use of AI and machine learning methods to optimize IT operations. This approach enables faster provisioning and maintenance of servers.

IT 85

IT Cost-Benefit Optimization Machine Learning 85

datapine

MAY 9, 2019

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips. Learn here!

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

Smart Data Collective

JUNE 16, 2022

Such platforms provide full-stack training solutions for IIBA certifications & several training programs for professionals of different work experience groups. Process Upgrade: Ensure following industry standards and benchmarking the process against the Business Analysis Body of Knowledge (BABOK) and modernize them.

Business Analytics 135

Business Analytics Analytics Forecasting Business Analysis 135

Smart Data Collective

JUNE 3, 2021

The market for financial analytics services is projected to be worth over $11 billion within the next five years. Analytics is particularly important for developing strategic financial management policies. Strategic Financial Management or strategic finance is a process to help a company’s finances. What is Strategic Finance?

Management 124

Management Analytics Finance Analytics Technologies 124

Jet Global

MAY 15, 2025

May 15, 2025 insightsoftware , the most comprehensive provider of solutions for the Office of the CFO, today announced Fresca Group , one of the UKs largest fresh produce businesses, will deploy JustPerform from insightsoftware. Fresca chose insightsoftware for its ability to offer a comprehensive EPM solution.

Management 59

Management IT Finance ROI 59

Rocket-Powered Data Science

MAY 21, 2024

With award-winning AI-ready infrastructure, an AI data platform, and collaboration with NVIDIA, Pure Storage is delivering solutions and services that enable organizations to manage the high-performance data and compute requirements of enterprise AI. Summary AI devours data. AI Then and AI Now!

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

CIO Business Intelligence

MARCH 21, 2022

It’s especially poignant when we consider the extent to which financial data can steer business strategy for the better. Jason Child, now CFO of SaaS company Splunk, tells the story of his time at Amazon’s Financial Planning & Analysis (FP&A) department. billion a year. billion a year. Out of that, $6.1

Data-driven 116

Data-driven IT Finance Forecasting 116

CIO Business Intelligence

OCTOBER 17, 2023

The company has also added new capabilities to its planning and budgeting feature to help enterprises automate data analysis for preparing budgets. The new capabilities were announced on Tuesday at the company’s annual SuiteWorld conference in Las Vegas. The ERP suite is available on Oracle Cloud Infrastructure.

IT 131

IT Finance Sales Enterprise 131

DataKitchen

SEPTEMBER 18, 2024

A DataOps Approach to Data Quality The Growing Complexity of Data Quality Data quality issues are widespread, affecting organizations across industries, from manufacturing to healthcare and financial services. The DataOps methodology offers a solution by providing a structured, iterative approach to managing data quality at scale.

Scorecard 180

Scorecard Data Quality Measurement Testing 180

Smart Data Collective

MAY 23, 2021

Artificial intelligence (AI) and machine learning (ML) are two technologies that use digital technology to improve conventional financial services and solutions. Artificial intelligence (AI) and machine learning (ML) are two technologies that use digital technology to improve conventional financial services and solutions.

Insurance 137

Insurance Machine Learning Cost-Benefit Data-driven 137

CIO Business Intelligence

JUNE 2, 2022

Technologies are considered hot if banks have lined up a planned investment in them in the next 12 months, Forrester said, adding that these new investments are expected to shape the future of the banking industry and customer experience. AI enhances operational efficiency. 5G aids customer service. 5G aids customer service.

Predictive Analytics 145

Predictive Analytics Technology Analytics Machine Learning 145

O'Reilly on Data

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Almost everybody’s played with ChatGPT, Stable Diffusion, GitHub Copilot, or Midjourney. Many AI adopters are still in the early stages.

Enterprise 344

Enterprise Testing Modeling Reporting 344

Smart Data Collective

MAY 19, 2021

The management decisions depend entirely on the depth of the analysis of available information. With the help of BI, the sales department has a tool for planning and evaluating the execution of plans. They need to ask important questions such as what is the turnover, how much was the profit and what are the cost dynamics.

Business Intelligence 126

Business Intelligence Sales Visualization Reporting 126

AWS Big Data

JULY 16, 2024

SIEM solutions help you implement real-time reporting by monitoring your environment for security threats and alerting on threats once detected. Zurich Insurance Group (Zurich) is a leading multi-line insurer providing property, casualty, and life insurance solutions globally.

Insurance 129

Insurance Management Cost-Benefit Optimization 129

datapine

AUGUST 19, 2020

In the matter, data analysis and dashboard designer software is a precious ally. In the matter, data analysis and dashboard designer software is a precious ally. In our cutthroat digital economy, massive amounts of data are gathered, stored, analyzed, and optimized to deliver the best possible experience to customers and partners.

Metrics 286

Metrics KPI Cost-Benefit Dashboards 286

datapine

SEPTEMBER 29, 2022

10) Data Quality Solutions: Key Attributes. quintillion bytes of data being produced on a daily basis and the wide range of online data analysis tools in the market, the use of data and analytics has never been more accessible. 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 9) 3 Sources Of Low-Quality Data.

Data Quality 241

Data Quality Metrics Data-driven Management 241

O'Reilly on Data

DECEMBER 19, 2018

We need to do more than automate model building with autoML; we need to automate tasks at every stage of the data pipeline. In a previous post , we talked about applications of machine learning (ML) to software development, which included a tour through sample tools in data science and for managing data infrastructure. Developers of Software 1.0

Machine Learning 279

Machine Learning Software Metadata Testing 279

datapine

JANUARY 18, 2023

That said, there are various types of reports that can be used for different purposes, rather you want to track the progress of your strategies or stay compliant with financial laws, there is a different report for each task. This presents a problem for many modern organizations today as building reports can take from hours to days.

Reporting 201

Reporting Metrics Dashboards Visualization 201

datapine

MARCH 31, 2022

This all-encompassing branch of online data analysis is a particularly interesting field because its roots are firmly planted in two separate areas: business strategy and computer science. Does the idea of discovering patterns in large volumes of information make you want to roll up your sleeves and get to work? billion by the end of 2021.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239